Senior Data Scientist @ AHEAD | Jobright.ai
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AHEAD · 1 week ago

Senior Data Scientist

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Cloud ComputingInformation Technology
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Responsibilities

Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases.
Design, develop, and implement complex machine learning models and algorithms to solve real-world business problems.
Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
Lead client-facing project teams of data science and AI experts.
Develop and train custom models using frameworks such as Scikit-Learn, TensorFlow or PyTorch.
Leverage Jupyter-based environments for exploratory data analysis, model development, and deployment.
Communicate complex technical concepts and findings to stakeholders and leadership in a clear and concise manner.
Mentor and provide guidance to junior data scientists.
Participate in pre-sales activities, including project scoping, estimation, and solution design.
Educate clients and stakeholders on data science and machine learning concepts, methodologies, and best practices.
Contribute to the development and enhancement of data science service offerings and thought leadership.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonNumPyPandasScikit-learnTensorFlowPyTorchMatplotlibMachine learningDeep learningCloud platformsAWSAzureGCPJupyter NotebooksAzure Machine Learning StudioAzure OpenAIAWS SageMakerAWS BedrockSupervised learningUnsupervised learningGenerative AIFine-tuningRetrieval-augmented generationModel deploymentMonitoringDrift detectionRetrainingCanary testingPre-sales activitiesProject scoping

Required

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning.
Proficient in Python, with experience in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Matplotlib.
Experience with developing and training custom models using TensorFlow, PyTorch, or scikit-learn.
Experience with cloud platforms such as AWS, Azure, or GCP.
Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, and AWS Bedrock.
Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques.
Experience with key generative AI concepts including fine-tuning and retrieval-augmented generation.
Strong understanding of the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing
Excellent analytical and problem-solving skills with the ability to work on complex data science challenges.
Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences.
Experience in pre-sales activities, including project scoping, estimation, and solution design.

Preferred

Experience training and deploying models on DataRobot or Dataiku platforms.
Domain expertise in specific industries or areas of application (e.g., finance, healthcare, e-commerce).
Familiarity with data platform architectures, database design, and BI platform such as PowerBI.
Knowledge of identifying and applying non-predictive or generative methods to business problems, including ad-hoc analysis, linear programming (optimization), or designing and running simulations.
Wide knowledge of the current state of ML and AI technology and market.
Experience writing AI and ML blogs and go-to-market materials.

Benefits

Paid time off
Paid company holidays
Maternity/paternity leave

Company

AHEAD is a solutions-based company that helps clients move to an optimized IT service delivery model.

H1B Sponsorship

AHEAD has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (16)
2022 (20)
2021 (25)
2020 (1)

Funding

Current Stage
Late Stage
Total Funding
$97.72M
2024-05-06Series Unknown· $5.7M
2024-02-01Series Unknown· $43.6M
2023-11-02Series Unknown· $5.77M

Leadership Team

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Daniel Adamany
CEO
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Stephen Ayoub
Co-Founder & President
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Company data provided by crunchbase
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